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Nonparametric Regression Analysis of Longitudinal Data

  • Hans-Georg Müller

Part of the Lecture Notes in Statistics book series (LNS, volume 46)

Table of contents

  1. Front Matter
    Pages I-VI
  2. Hans-Georg Müller
    Pages 1-5
  3. Hans-Georg Müller
    Pages 6-14
  4. Hans-Georg Müller
    Pages 15-25
  5. Hans-Georg Müller
    Pages 26-46
  6. Hans-Georg Müller
    Pages 77-90
  7. Hans-Georg Müller
    Pages 91-121
  8. Hans-Georg Müller
    Pages 122-130
  9. Hans-Georg Müller
    Pages 151-157
  10. Hans-Georg Müller
    Pages 158-164
  11. Back Matter
    Pages 190-199

About this book

Introduction

This monograph reviews some of the work that has been done for longitudi­ nal data in the rapidly expanding field of nonparametric regression. The aim is to give the reader an impression of the basic mathematical tools that have been applied, and also to provide intuition about the methods and applications. Applications to the analysis of longitudinal studies are emphasized to encourage the non-specialist and applied statistician to try these methods out. To facilitate this, FORTRAN programs are provided which carry out some of the procedures described in the text. The emphasis of most research work so far has been on the theoretical aspects of nonparametric regression. It is my hope that these techniques will gain a firm place in the repertoire of applied statisticians who realize the large potential for convincing applications and the need to use these techniques concurrently with parametric regression. This text evolved during a set of lectures given by the author at the Division of Statistics at the University of California, Davis in Fall 1986 and is based on the author's Habilitationsschrift submitted to the University of Marburg in Spring 1985 as well as on published and unpublished work. Completeness is not attempted, neither in the text nor in the references. The following persons have been particularly generous in sharing research or giving advice: Th. Gasser, P. Ihm, Y. P. Mack, V. Mammi tzsch, G . G. Roussas, U. Stadtmuller, W. Stute and R.

Keywords

Estimator Regression analysis Variance average optimization statistics

Authors and affiliations

  • Hans-Georg Müller
    • 1
    • 2
  1. 1.Institute of Medical StatisticsUniversity of Erlangen-NürnbergErlangenFederal Republic of Germany
  2. 2.Division of StatisticsUniversity of CaliforniaDavisUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4612-3926-0
  • Copyright Information Springer-Verlag New York 1988
  • Publisher Name Springer, New York, NY
  • eBook Packages Springer Book Archive
  • Print ISBN 978-0-387-96844-5
  • Online ISBN 978-1-4612-3926-0
  • Series Print ISSN 0930-0325
  • Buy this book on publisher's site
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